Data Quality Analyst

In the increasingly complex world of financial services, accurate and complete data is critical for risk management and regulatory compliance. Ensuring data integrity begins with an understanding of financial services data, data quality controls and identifying and resolving data issues. What will you do?

Perform deep data analysis to identify trends and patterns in the data Design controls to detect data quality issues Work using Agile methodology to automate the controls using various tools/technologies Profile business, financial and reporting data through use of cutting edge data/analytic tools. Collaborate with various stakeholders to understand business needs, and create user stories and business requirements What do you need to succeed? Must-have 2+ years of professional work experience, with 2 years of analysis experience working in a data-rich industry (such as Banking, Insurance, Capital Markets, Retail etc.) Education in Science, Engineering, Business, Finance or any other analytical discipline or equivalent work experience Intermediate to advanced knowledge of data analysis methods and the ability to analyze and resolve complex data related issues.

SQL skills (or other data analysis tools/packages) to extract data and perform various types of functions/operations to gain insight Excellent communication - strong verbal, written and presentation skills Attention to detail and ability to work independently and within a team Nice-to-have Understanding of Data Quality concepts and processes Understanding of basic Banking/Finance terms and processes Understanding of data flows and processing Experience using IBM’s DataStage or Information Analyzer software What’s in it for you? A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation Leaders who support your development through coaching and managing opportunities Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work Job Skills Critical Thinking, Data Administration, Database Structures, Data Modeling, Data Movement, Detail-Oriented, Group Problem Solving, Information Capture, Standard Operating Procedure (SOP), Teamwork #J-18808-Ljbffr